DEU at ImageCLEFmed 2009: Evaluating a Re-ranking and Integrated Retrieval Model.
Tolga Berber, Adil Alpkoçak · 2009
This paper presents DEU team participation in imageCLEF2009med. Main goal of our participation is to evaluate two dierent approaches: First, a new re-ranking method which aims to model information system behaviour depending on several aspects of both documents and query. Secondly, we compare a new retrieval approach which integrates textual and visual contents into one single model. Initially we extract textual features of all documents using standard vector space model and assume as a baseline. Then this baseline is combined with re-ranking and integrated retrieval model. Re-ranking approach is trained using ImageCLEFmed 2008 ground truth data. However, re-ranking approach did not produced satisfactory results. On the other hand, our integrated retrieval model resulted top rank among all submissions in automatic mixed runs.